Data EngineersHere are jobs opportunities data engineers should grab in 2022.

Data Science is now ruling the world with its different applications among various sectors. It’s now playing a vital role to gain profits. Many youngsters are now showing immense interest in Data Science. Combing with AI, ML and many other technologies Data Scientists, Data Engineers, Data Analysts are creating wonders and giving results at its best. Data Science is not solely about data but also machine learning, artificial technology, data mining, big data.

There are 300,000 Data Scientists, Data Engineers across the world striving for job opportunities. There are many Jobs for Data Engineers across the globe but there aren’t many sites to let you all know. There is an immense scope in data engineering all you need to do is to follow the article.

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Data Engineer: Flip cart – Bangalore, Karnataka

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Job role:

Data engineers to build data analytical solutions that will address increasingly complex business questions. Data Engineer will be a hands-on person responsible for designing, prototyping and implementing data products that support a wide variety of data processing, data science and analytics needs. Data Engineers work closely with data scientists, product managers, data platform team to understand the functional data requirements and leverage the underlying tech stack to come up with scalable, robust data applications which can crunch terabytes of data in real-time. Data products and applications you build will enable data driven decision making across business, analytics and operations.

Data Engineer - Python (Work from Home)

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Job role:

The candidate must know technical skills such as programming – SQL, Python, R etc. He /She should be able to use state of the art methods using data mining. One must have analytical thinking and should show a proactive role towards problem solving.

Data Engineer – Intuit – Bangalore, Karnataka, India

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Job role:

Intuit is looking for a "Data Engineer" to be part of the AI & Data group in Intuit Development Center, Bangalore India. This position focuses specifically on building next generation Data platform. This data platform will cater to Real time data availability to generate real time reports. Enable AI driven expert platform Domain Driven Events. Data observability and quality in a distributed system & Launch Self-serve tools to setup, configure and manage data pipelines with specific focus around Operational Excellence, performance.

Data Engineer – Mastercard – Gurgaon, Haryana, India

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Job role:

Delivery Engineering Platforms is part of MasterCard Data & Services group and one of the most rapidly growing organization in the space. Platform Teams provides cloud-based analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions.

Data Engineer – Digital Marketing Analytics – Sugatan.io – Mumbai, Maharashtra, India

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Job role:

The candidate must be able to expand and optimize data and data pipeline architecture and should be able work across all functional leads creating and/or implementing methods to improve data reliability and quality as well as optimizing data flow and collection. Build tools to provide actionable insights into key business performance metrics to optimize our services and create value for our clients. Automating manual processes to support our current and future data initiative.

Data Engineer – Apisero Inc. India

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Job role:

The candidate should be able to design and develop Data platforms and pipelines and automate manual processes around data movement. Support data transformation, data structures and metadata also should able to do data warehouse modeling and architecture and Perform Data Analysis, Data Profiling and Data Integrity checks using SQL and other tools. He or She needs to monitor, troubleshoot and debug data warehouse solutions.

Data Engineer – IBM – Bengaluru, Karnataka, India

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Job role:

From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture clients need to implement AI successfully. Building on the streamlined hybrid-cloud foundation of Red Hat Open Shift, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management.

Data Engineer – Ford Motor Company – Tamil Nadu, India

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Job role:

Build, operationalize, secure, and monitor data processing systems. Support the development of logical and physical data models in Data warehousing. Build reliable data pipelines that clean, transform, and aggregate data from multiple systems/ sources. Understand Architecture and build Streaming ETL and Batch ETL pipelines, following best practices, optimizing queries, pipelines as per the needs. Work closely with Product Owner and business process owners to translate business requirements into technical solutions. Build datamarts to cater the needs of Business Intelligence & Reporting and Data Science team. Automate manual processes to optimize data delivery. Use agile software development processes to iteratively make improve deliverables.